[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/taf/tjsmxx/v16y2022i6p589-603.html
   My bibliography  Save this article

Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios

Author

Listed:
  • Kevin Henares
  • José L. Risco-Martín
  • José L. Ayala
  • Román Hermida
Abstract
The Internet of Things (IoT) has caused an exponential increase in the number of connected devices. This brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services. However, more powerful storage and processing capabilities are required to service all these devices. Modelling and Simulation (M&S) can help to deploy IoT infrastructure, providing flexible and powerful mechanisms to study and compare different strategies. In this scenario, Micro Data Centers (MDCs) are an effective solution to reduce overwhelmed Cloud Data Center infrastructures. This paper explores an M&S methodology to study the overall power consumption of a healthcare IoT scenario, where patients wear non-intrusive monitoring devices that periodically generate computing tasks. We extract the layout of existing urban infrastructures, simulate the monitored population’s behaviour, and compare the power consumption of several data centre configurations.

Suggested Citation

  • Kevin Henares & José L. Risco-Martín & José L. Ayala & Román Hermida, 2022. "Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios," Journal of Simulation, Taylor & Francis Journals, vol. 16(6), pages 589-603, November.
  • Handle: RePEc:taf:tjsmxx:v:16:y:2022:i:6:p:589-603
    DOI: 10.1080/17477778.2022.2072782
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17477778.2022.2072782
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17477778.2022.2072782?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjsmxx:v:16:y:2022:i:6:p:589-603. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjsm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.